The BLS considers a mass layoff event to be a condition where there are at least fifty initial claims for unemployment insurance originating from a single employer over a period of five consecutive weeks.
The recent (released on Friday) report showed a sizable "drop" on a seasonally adjusted basis. NPR's Matthew Katz' initial reaction was similar to mine:
The decline may just be because we've had so many mass layoffs already that we've exhausted them. Still, there's something about the nosedive that chart is taking that makes me happy. Let's hope it continues.But looking at the data, it may be just another odd seasonal adjustment that was the cause of the goods news.
As can be seen above, the difference between the seasonal and non-seasonal adjusted figure was a whopping 130,000 jobs. According to the BLS:
Thus, most seasonally adjustments smooth out month over month changes, while year over year figures of seasonal and non-seasonal data tend to be closely aligned. Not so much the case here. The chart below shows year over year changes of both the seasonal and non-seasonal data. We see the large drop in seasonal data (the "good news" reported), but non-seasonal adjusted data shows year over year mass layoffs at a six-month high.
Seasonal adjustment is the process of estimating and removing the effect on time series data of regularly recurring seasonal events such as changes in the weather, holidays, and the beginning and ending of the school year. The use of seasonal adjustment makes it easier to observe fundamental changes in time series, particularly those associated with general economic expansions and contractions.